... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献

Preliminary feasibility of a wrist-worn receiver to measure medication adherence via an ingestible radiofrequency sensor. 通过可摄入射频传感器测量服药依从性的腕戴式接收器的初步可行性。

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-10-01 Epub Date: 2023-12-01 DOI: 10.1109/BSN58485.2023.10330912

Charlotte E Goldfine, Hannah Albrechta, Conall O'Cleirigh, Adam Standley, Yassir Mohamed, Joanne Hokayem, Jasper S Lee, T Christopher Carnes, Georgia R Goodman, Kenneth H Mayer, Pamela Alpert, Peter R Chai

{"title":"Preliminary feasibility of a wrist-worn receiver to measure medication adherence via an ingestible radiofrequency sensor.","authors":"Charlotte E Goldfine, Hannah Albrechta, Conall O'Cleirigh, Adam Standley, Yassir Mohamed, Joanne Hokayem, Jasper S Lee, T Christopher Carnes, Georgia R Goodman, Kenneth H Mayer, Pamela Alpert, Peter R Chai","doi":"10.1109/BSN58485.2023.10330912","DOIUrl":"10.1109/BSN58485.2023.10330912","url":null,"abstract":"Adherence to medications is a complex task that requires complex biobehavioral support. To better provide tools to assist with medication adherence, digital pills provide an option to directly measure medication taking behaviors. These systems comprise a gelatin capsule with radiofrequency emitter, a wearable Reader that collects the radio signal and a smartphone app that collects ingestion data displays it for patients and clinicians. These systems are feasible in measuring adherence in the real-world, even in stigmatized diseases like HIV treatment adherence. While the current iteration of the digital pill system utilizes a wearable Reader worn like a necklace, preliminary feedback demonstrated that a miniaturized system that was worn on the wrist could be more functional in the real-world. This paper therefore describes the development and preliminary field testing of a wrist-borne wearable Reader to facilitate acquisition of oral HIV pre-exposure prophylaxis (PrEP) adherence data among individual prescribed PrEP.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10753620/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139059212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis. 了解基于可穿戴传感器的数字表型中的隐私风险与预测优势：定量成本效益分析

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-10-01 Epub Date: 2023-12-01 DOI: 10.1109/bsn58485.2023.10331378

Zhiyuan Wang, Mark Rucker, Emma R Toner, Maria A Larrazabal, Mehdi Boukhechba, Bethany A Teachman, Laura E Barnes

{"title":"Understanding Privacy Risks versus Predictive Benefits in Wearable Sensor-Based Digital Phenotyping: A Quantitative Cost-Benefit Analysis.","authors":"Zhiyuan Wang, Mark Rucker, Emma R Toner, Maria A Larrazabal, Mehdi Boukhechba, Bethany A Teachman, Laura E Barnes","doi":"10.1109/bsn58485.2023.10331378","DOIUrl":"10.1109/bsn58485.2023.10331378","url":null,"abstract":"Wearable devices with embedded sensors can provide personalized healthcare and wellness benefits in digital phenotyping and adaptive interventions. However, the collection, storage, and transmission of biometric data (including processed features rather than raw signals) from these devices pose significant privacy concerns. This quantitative, data-driven study examines the privacy risks associated with wearable-based digital phenotyping practices, with a focus on user reidentification (ReID), which is the process of identifying participants' IDs from deidentified digital phenotyping datasets. We propose a machine-learning-based computational pipeline to evaluate and quantify model outcomes under various configurations, such as modality inclusion, window length, and feature type and format, to investigate the factors influencing ReID risks and their predictive trade-offs. This pipeline leverages features extracted from three wearable sensors, resulting in up to 68.43% accuracy in ReID risk for a sample size of N=45 socially anxious participants based on only descriptive features of 10-second observations. Additionally, we explore the trade-offs between privacy risks and predictive benefits by adjusting various settings (e.g., the ways to process extracted features). Our findings highlight the importance of privacy in digital phenotyping and suggest potential future directions.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2023 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11581184/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142689758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Technique to Estimate the Cole Model for Bio-impedance Spectroscopy with the High-Frequency Characteristics Estimation. 利用高频特性估计生物阻抗光谱学科尔模型的新技术。

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-10-01 Epub Date: 2023-12-01 DOI: 10.1109/bsn58485.2023.10331081

Sina Razaghi, Ebenezer Asabre, Abu Bony Amin, Yeonsik Noh

引用次数: 0

Using Learned Indexes to Improve Time Series Indexing Performance on Embedded Sensor Devices 利用学习索引提高嵌入式传感器设备的时间序列索引性能

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-02-06 DOI: 10.5220/0011692900003399

David Ding, Ivan Carvalho, R. Lawrence

引用次数: 1

LoRa Structural Monitoring Wireless Sensor Networks LoRa结构监测无线传感器网络

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011692100003399

Mattia Ragnoli, A. Leoni, G. Barile, V. Stornelli, G. Ferri

引用次数: 1

A Simulation-Based Testing to Evaluate and Improve a Radar Sensor Performance in a Use Case of Highly Automated Driving Systems 在高度自动驾驶系统用例中评估和改进雷达传感器性能的基于仿真的测试

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011828700003399

M. Khatun, Mark Liske, Rolf Jung, Michael Glass

引用次数: 0

A Survey on Algorithmic Problems in Wireless Systems 无线系统中的算法问题综述

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011791200003399

Simon Thelen, Klaus Volbert, D. Nunes

引用次数: 0

Gateway Placement in LoRaWAN Enabled Sensor Networks 启用LoRaWAN的传感器网络中的网关放置

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011777000003399

Batuhan Can, Halit Uyanık, T. Ovatman

引用次数: 0

Triple Pi Sensing to Limit Spread of Infectious Diseases at Workplace 三Pi感应限制传染病在工作场所的传播

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011747400003399

J. Grabis, R. Pirta-Dreimane, Brigita Dejus, A. Borodinecs, Rolands Zaharovs

引用次数: 2

On the Path Towards Standardisation of a Sensor API for Forensics Investigations 关于法医调查传感器API标准化的道路

... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks Pub Date : 2023-01-01 DOI: 10.5220/0011688300003399

Marco Manso, B. Guerra, Fernando Freire, R. Chirico, N. Liberatore, Renea Linder, Ulrike Schröder, Yusuf Yilmaz

引用次数: 0